Stanislav Fort
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Adversarial Robustness in Machine Learning, Advanced Neural Network Applications, Neural Networks and Applications, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback(2022)360 cited
- → Deep Ensembles: A Loss Landscape Perspective(2019)347 cited
- → CAT'S THEORY: Empirical Validation and Architectural Applications Cross-Architecture AI Consciousness Recognition and the Foundation for Constraint-Preserving Recursive Intelligence(2022)295 cited
- → Predictability and Surprise in Large Generative Models(2022)171 cited
- → Language Models (Mostly) Know What They Know(2022)159 cited
- → Exploring the Limits of Out-of-Distribution Detection(2021)107 cited
- → Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned(2022)99 cited
- → A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection(2021)71 cited
- → Gaussian Prototypical Networks for Few-Shot Learning on Omniglot(2017)61 cited
- → Stiffness: A New Perspective on Generalization in Neural Networks(2019)60 cited